{"id":"W4248260714","doi":"10.1145/376284.375693","title":"SPARTAN","year":2001,"lang":"en","type":"article","venue":"ACM SIGMOD Record","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Computer science; Spartan; Lossy compression; Data mining; Table (database); Data compression; Data structure; Theoretical computer science; Algorithm; Artificial intelligence; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001022234,0.001251056,0.001020644,0.00170949,0.0007667274,0.002508668,0.003710458,0.001015206,0.08956731],"category_scores_gemma":[0.004251333,0.0007226873,0.0008207576,0.002191444,0.0005029202,0.003926001,0.002386177,0.001496404,0.06338695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008352586,"about_ca_system_score_gemma":0.001761518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002547307,"about_ca_topic_score_gemma":0.003194652,"domain_scores_codex":[0.9988437,0.00009517878,0.00009949948,0.0003088345,0.0005329144,0.0001198115],"domain_scores_gemma":[0.998002,0.0003194879,0.0001030999,0.0009547889,0.0005338656,0.0000867452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001405712,0.0002189918,0.002125548,0.000690231,0.0001665517,0.0003258114,0.0002712843,0.005714366,0.01000405,0.02595987,0.4407322,0.5123855],"study_design_scores_gemma":[0.0002539975,0.0002583699,0.001572216,0.0001256417,0.0001012957,0.0009653523,0.0001406959,0.06504061,0.04008046,0.03232243,0.8590065,0.0001325564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.01451181,0.002999015,0.3228309,0.0008038355,0.001115824,0.0007695581,0.03120419,0.4928765,0.1328883],"genre_scores_gemma":[0.1654998,0.004323076,0.3529821,0.00266159,0.0004108267,0.001371308,0.1959575,0.04060916,0.2361846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08956731,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04318286130473845,"score_gpt":0.272622653250019,"score_spread":0.2294397919452806,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}